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Can Schema\n==============\nThe folder(s) here contain JSON schema for Tin Can API objects. They are\nused to validate objects against the\n[Tin Can API specification](https://github.com/adlnet/xAPI-Spec).\n\nThe schema are designed to be language-independent; the only requirements are\n\n1. That the validator must\n   [support draft-4](http://www.json-schema.org/implementations.html) JSON\n   schema, and\n\n2. That the validator has some way of registering Regular Expressions to\n   support the `format` field. This is not a hard requirement, but without this\n   support, strings will not be verified for their format.\n\nWe are testing the schema using\n[Tin Can Validator](https://github.com/RusticiSoftware/TinCanValidator).\n\n\nStructure\n---------\nEach directory contains a complete set of parts that can be easily assembled\ninto a complete schema file.\n\nA `formats` sub-directory may be present. This contains Regular Expression\nstrings in JSON format to validate special strings like UUIDs, version numbers\nand URIs. These are not part of the schema itself, but must be registered with\nthe schema validator to enable string format checking.\n\n\n### Build the schema (automatic)\nYou can use\n[Tin Can Validator](https://github.com/RusticiSoftware/TinCanValidator) to do\nthis for you:\n\n    git clone https://github.com/RusticiSoftware/TinCanValidator\n    cd TinCanValidator\n    ./joinSchema.js path/to/TinCanSchema/\u003cversion\u003e result.json\n\n\n### Build the schema (manual)\nIf you don't want to use that, follow these instructions:\n\n    // 1. Make a skeleton:\n    result = {\n        \"$schema\": \"http://json-schema.org/draft-04/schema#\",\n        \"type\": \"object\",\n        \"additionalProperties\": false,\n        \"properties\": {}\n    }\n\n    // 2. For each JSON file:\n    files = [ \"account.json\", \"...\" ]\n    for (var i=0; i\u003cfiles.length; i++) {\n        var fname = files[i];\n\n        // a. Parse it to an object and verify that it is valid JSON\n        try {\n            stringData = readFile(fname);\n            data = JSON.parse(stringData);\n        } catch (err) {\n            // handle the error\n        }\n\n        // b. Check that the file name matches the id:\n        if (\"#\" + fname.split('.')[0] !== data[\"id\"]) {\n            // handle the error\n        }\n\n        // c. Verify that the object is a valid schema:\n        if (!YourValidator.validateSchema(data)) {\n            // handle the error\n        }\n\n        // d. Remove the \"$schema\" field from the data, if present:\n        if (data[\"$schema\"]) delete data[\"$schema\"];\n\n        // e. Add the data to the \"properties\" field of the skeleton:\n        id = data[\"id\"].slice(1);  // slice off the '#' prefix\n        result[\"properties\"][id] = data;\n    }\n\n    // 3. 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